J. Stoker

发表

Evaluating Lidar Point Densities for Effective Estimation of Aboveground Biomass

Barry R. Middleton, Zhuoting Wu, Dennis G. Dye, 2016 .

Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forests

I. Burke, M. Kaufmann, J. Stoker, 2005 .

Report of the U.S. Geological Survey Lidar Workshop Sponsored by the Land Remote Sensing Program and held in St. Petersburg, FL, November 2002

Gerald W. Bawden, Jason M. Stoker, K. Morgan, 2004 .

Assessing Preble’s Meadow Jumping Mouse (Zapus hudsonius preblei) Habitat and Connectivity for Conservation and Restoration

E. Gage, J. Stoker, Gabrielle L. Katz, 2020, Wetlands.

The Need for a National Lidar Dataset

David Harding, Jason M. Stoker, D. Harding, 2008 .

An Integrated Framework for Ecological Drought across Riverscapes of North America

Adam J. Sepulveda, John A. Young, P. Lambert, 2019, BioScience.

CLICK: The new USGS Center for Lidar Information Coordination and Knowledge

Dean B. Gesch, Jason M. Stoker, Susan K. Greenlee, 2006 .

Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data

Susan Greenlee, S. Poppenga, J. Stoker, 2010 .

Using Regional-scale Pre- and Post Hurricane Katrina Lidar for Monitoring and Modeling

J. Stoker, D. Phil Turnipseed, K. Wilson, 2011 .

Integrating Disparate Lidar Datasets for a Regional Storm Tide Inundation Analysis of Hurricane Katrina

Michael J. Oimoen, Dean J. Tyler, J. Stoker, 2009 .

Multi-temporal image analysis of historical aerial photographs and recent satellite imagery reveals evolution of water body surface area and polygonal terrain morphology in Kobuk Valley National Park, Alaska

S. Goetz, M. Jorgenson, J. Stoker, 2013 .

USGS lidar science strategy—Mapping the technology to the science

John A. Young, L. Sugarbaker, J. Brock, 2016 .

Automated integration of lidar into the LANDFIRE product suite

C. Seielstad, B. Peterson, W. Jolly, 2015 .

Using the Forest Vegetation Simulator to reconstruct historical stand conditions in the Colorado Front Range

Paula J. Fornwalt, M. Kaufmann, J. Stoker, 2002 .

CLICK: The New USGS CLICK: The New USGS Center for Lidar Center for Lidar Information Coordination Information Coordination and Knowledge

D. Gesch, Susan Greenlee, J. Stoker, 2006 .

Landscape patterns of montane forest age structure relative to fire history at Cheesman Lake in the Colorado Front Range

Paula J. Fornwalt, M. Kaufmann, J. Stoker, 2001 .

Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions

Wayne Brininger, Mark F. Roth, G. Senay, 2018, PloS one.

Using tree recruitment patterns and fire history to guide restoration of an unlogged ponderosa pine/Douglas-fir landscape in the southern Rocky Mountains after a century of fire suppression

M. Kaufmann, J. Stoker, L. Huckaby, 2003 .

Identification and ecology of old ponderosa pine trees in the Colorado Front Range

M. Kaufmann, J. Stoker, L. Huckaby, 2003 .

The 3D Elevation Program and energy for the Nation

J. Stoker, C. Thatcher, V. Lukas, 2020 .

The 3D Elevation Program initiative: a call for action

Eric W. Constance, Hans Karl Heidemann, Jason M. Stoker, 2014 .

Evaluation of Single Photon and Geiger Mode Lidar for the 3D Elevation Program

Qassim A. Abdullah, Amar Nayegandhi, Jason M. Stoker, 2016, Remote. Sens..

LiDAR: providing structure

Brian R. Johnson, G. Asner, L. Vierling, 2011 .

Quantifying landscape change in an arctic coastal lowland using repeat airborne LiDAR

Guido Grosse, Benjamin M. Jones, Vladimir E. Romanovsky, 2013 .

Evaluating and mitigating the impact of systematic geolocation error on canopy height measurement performance of GEDI

M. Hofton, J. Armston, J. Stoker, 2023, Remote Sensing of Environment.

Volumetric visualization of multiple-return lidar data: using voxels.

Jason M. Stoker, J. Stoker, 2009 .

Are we moving past the pixel? The growth of the third dimension in national landscape mapping

J. Stoker, 2013 .

Status of the 3D Elevation Program, 2015

Diane F. Eldridge, L. Sugarbaker, J. Stoker, 2017 .

Absolute Accuracy Assessment of Lidar Point Cloud Using Amorphous Objects

J. Danielson, J. Stoker, Minsu Kim, 2022, Remote. Sens..

The Accuracy and Consistency of 3D Elevation Program Data: A Systematic Analysis

J. Stoker, B. Miller, 2022, Remote. Sens..

Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast

Auriel M. V. Fournier, S. Medeiros, D. Gesch, 2023, Remote Sensing of Environment.

Cheesman Lake-a historical ponderosa pine landscape guiding restoration in the South Platte Watershed of the Colorado Front Range

M. Kaufmann, J. Stoker, L. Huckaby, 2001 .

Non-native plant invasions in managed and protected ponderosa pine/Douglas-fir forests of the Colorado Front Range

M. Kaufmann, J. Stoker, T. Stohlgren, 2003 .

Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions

D. Roy, M. Cochrane, J. Stoker, 2014 .

Field guide to old ponderosa pines in the Colorado Front Range

M. Kaufmann, J. Stoker, L. Huckaby, 2003 .

General External Uncertainty Models of Three-Plane Intersection Point for 3D Absolute Accuracy Assessment of Lidar Point Cloud

Jeffrey Danielson, Minsu Kim, Seonkyung Park, 2019, Remote. Sens..